Description

You will implement, fine-tune, and deploy generative AI models, focusing on LLMs, RAG systems, and AI-powered workflows.

This role is on-site.

Responsibilities

• Implement and fine-tune generative AI models, including LoRA and QLoRA techniques, under senior guidance.
• Develop and optimize prompt engineering strategies and AI-powered workflows.
• Deploy, monitor, and maintain AI models in production using Docker and containerization best practices.
• Perform data preprocessing, feature engineering, and API development for AI applications.
• Collaborate with data scientists and engineers to integrate AI capabilities and ensure code quality through reviews and testing.

Required Skills

• 3–5 years of professional experience in AI/ML development with exposure to Generative AI.
• Proficiency in Python for AI development, data preprocessing, and scripting.
• Familiarity with LLMs, prompt engineering, and fine-tuning methodologies.
• Understanding of RAG systems and hybrid search techniques.
• Experience with generative AI tools such as LangChain, Hugging Face, or LlamaIndex.
• Knowledge of model deployment and containerization (Docker).
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.

Preferred Skills

• Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure).
• Understanding of AI compliance, data privacy, and responsible AI principles.
• Experience with version control systems (Git) and collaborative project delivery.

Key Skills

Education

Bachelor's or Master's degrees